Evaluation of the branches of Iran Insurance Corporation based on data envelopment analysis-free disposal hull in the presence of weight restrictions

Hossein Safari, Abdol Hossein Jafarzadeh and Mohammad Reza Fathi

International Journal of Mathematics in Operational Research, 2020, vol. 16, issue 2, 202-216

Abstract: This study reviews the concepts of performance evaluation in the insurance industry based on data envelopment analysis. In this study to deal with the problems that exists in conventional DEA model, a new DEA model is introduced and applied based on FDH and weight restrictions to evaluate Insurance Corporation' branches. In this study, non-parametric frontier technologies for data analysis are mainly discussed. It combines several models with non-parametric frontier technology to suggest a new model for analysing the data. This paper is based on a combination of the two frontier technology, DEA and free disposal hull. As it is mainly based on DEA and benchmarking based on DEA. The proposed method was successfully conducted in a case study about Iran Insurance Corporation; secondly, the paper depicts the insurance company evaluation process through a DEA model, while allowing for incorporating the preferences of decision maker. According to result, 26 branches are efficient and achieved efficiency score is equal to 1.

Keywords: insurance; performance evaluation; non-parametric analysis; data envelopment analysis; DEA; free disposal hull; FDH; benchmarking; weight restrictions; discernment power. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=105871 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmore:v:16:y:2020:i:2:p:202-216

Access Statistics for this article

More articles in International Journal of Mathematics in Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().